Ocular Phantom-Based Feasibility Study of an Early Diagnosis Device for Glaucoma.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
15 Jan 2021
Historique:
received: 30 11 2020
revised: 05 01 2021
accepted: 11 01 2021
entrez: 20 1 2021
pubmed: 21 1 2021
medline: 27 3 2021
Statut: epublish

Résumé

Glaucoma causes total or partial loss of vision in 10% of people over the age of 70, increasing their fragility and isolation. It is characterised by the destruction of the optic nerve fibres, which may result from excessively high intraocular pressure as well as other phenomena. Diagnosis is currently reached through a combination of several checks, mainly of the eyes' fundus, tonometry and gonioscopy. Prior to validation for human subjects, the objective of this study is to validate whether ocular phantom-based models could be used to diagnose glaucoma using an onboard system, which could, even at home, prevent the early-stage development of the pathology. Eight phantoms modelling healthy eyes and eight phantoms modelling eyes with glaucoma due to excessive intraocular pressure were measured using an onboard system, including lens and electrophysiology electronics. We measured the actual average Zr (real part of impedance) impedance of 160.9 ± 24.3 ohms (glaucoma ocular phantom models) versus 211.9 ± 36.9 ohms (healthy ocular phantom models), and an average total water volume (Vt) of 3.02 ± 0.35 mL (glaucoma ocular phantom models) versus 2.45 ± 0.28 mL (healthy ocular Phantoms). On average, we obtained 51 ohms (-24.1%) less and 0.57 mL (22.9%) of total water volume more, respectively. Normality tests (Shapiro-Wilk) for Vt and Zr indicate

Identifiants

pubmed: 33467457
pii: s21020579
doi: 10.3390/s21020579
pmc: PMC7830669
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Marie-Valérie Moreno (MV)

Research Center, RunSys, 53 Avenue Carnot, 69250 Neuville-sur-Saône, France.

Cloé Houriet (C)

Research Center, Fabrinal, Rue de la Tuilerie 42, 2300 La Chaux-de-Fonds, Switzerland.

Pierre-Alain Grounauer (PA)

Research Center, Fabrinal, Rue de la Tuilerie 42, 2300 La Chaux-de-Fonds, Switzerland.

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Classifications MeSH